Maximize AI/ML Investments with Teradata's ClearScape Analytics Enhancements

Maximizing AI/ML Investments with ClearScape Analytics

Teradata has unveiled powerful enhancements to ClearScape Analytics at Possible 2024: London, designed to optimize AI/ML investments in organizations. These new features specifically target the challenges faced by data scientists, enabling them to enhance productivity and streamline processes.

Key Features Introduced

• Spark to ClearScape Analytics: Convert legacy pyspark code to Teradata machine learning seamlessly, reducing complexity and operational costs.
• Operationalising AI at Scale: Utilize VantageCloud’s robust tools to manage workloads and security, ensuring efficient AI model production.
• Multi-Cloud Machine Learning: Engage in hybrid-cloud environments to maximize AI investments.
• AutoML: Automate model training, facilitating non-technical users in building AI/ML models without extensive knowledge.
• KNIME Integration: Enhance data science workflows using a no-code, low-code platform to accelerate AI initiatives.
• Self-Service UX Enhancements: New features allow users to access data effortlessly, minimizing the risk of coding errors.
• Open-source ML Functionality: Run popular machine learning functions on VantageCloud, offering scalability and performance.

Daniel Spurling, Teradata's Senior VP of Product Management, stated: “With these latest enhancements, we’re helping data scientists streamline complex processes through various self-service and automated features, enabling faster and cost-effective training to production cycles.”